Triple
T7657809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helsingborg |
E173429
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Råå IF
Råå IF is a Swedish sports club based in the Helsingborg area, best known for its football team and long local tradition.
|
E679741
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Råå IF | Statement: [Helsingborg, hasSportsClub, Råå IF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Råå IF Context triple: [Helsingborg, hasSportsClub, Råå IF]
-
A.
Timrå IK
Timrå IK is a professional ice hockey club from Timrå, Sweden, best known for competing in the country’s top leagues and developing numerous elite players.
-
B.
Stattena IF
Stattena IF is a Swedish football club known for its role in developing players such as renowned coach and former international striker Pia Sundhage.
-
C.
Östers IF
Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
-
D.
Segeltorps IF
Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
-
E.
Kjelsås IL
Kjelsås IL is a Norwegian multi-sport club based in the Kjelsås neighborhood of Oslo, known for activities such as football, handball, and skiing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Råå IF Triple: [Helsingborg, hasSportsClub, Råå IF]
Generated description
Råå IF is a Swedish sports club based in the Helsingborg area, best known for its football team and long local tradition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Råå IF Target entity description: Råå IF is a Swedish sports club based in the Helsingborg area, best known for its football team and long local tradition.
-
A.
Timrå IK
Timrå IK is a professional ice hockey club from Timrå, Sweden, best known for competing in the country’s top leagues and developing numerous elite players.
-
B.
Stattena IF
Stattena IF is a Swedish football club known for its role in developing players such as renowned coach and former international striker Pia Sundhage.
-
C.
Östers IF
Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
-
D.
Segeltorps IF
Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
-
E.
Kjelsås IL
Kjelsås IL is a Norwegian multi-sport club based in the Kjelsås neighborhood of Oslo, known for activities such as football, handball, and skiing.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7019161548190855a5b1e9f5d7e99 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b0d345081909a1d4475fa3876f5 |
completed | March 29, 2026, 3:22 a.m. |
| NEDg | Description generation | batch_69c89d77b7cc81908120da0121c94537 |
completed | March 29, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89ddd81a88190924d41529e94b06b |
completed | March 29, 2026, 3:34 a.m. |
Created at: March 27, 2026, 3:59 p.m.